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Bayesian Approach to Particles Identification in the MPD Experimen

Authors :
Babkin, V. A.
Baryshnikov, V. M.
Buryakov, M. G.
Burdyko, A. S.
Buzin, S. G.
Dmitriev, A. V.
Dronik, V. I.
Dulov, P. O.
Fedyunin, A. A.
Golovatyuk, V. M.
Kidanova, E. Yu.
Lobastov, S. P.
Pyatigor, A. D.
Rumyantsev, M. M.
Vokhmyanina, K. A.
Publication Year :
2024

Abstract

Identification of particles generated by ion collisions in the NICA collider is one of the basic functions of the Multipurpose Detector (MPD). The main means of identification in MPD are the time-of-flight system (TOF) and the time-projection chamber (TPC). The article considers the optimization of the algorithms of particles identification by these systems. Under certain conditions, the use of the statistical Bayesian approach has made it possible to achieve an optimal ratio of the efficiency of particle identification and contamination by incorrectly defined particles.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2406.12879
Document Type :
Working Paper